North Korea experienced a catastrophic famine in the mid-1990s that resulted in millions of deaths. This study aims to build an agent-based model to understand the risk of land degradation and famine in North Korea and explore potential solutions to mitigate this risk. The model concept reflects the general information of collective farms in North Korea, which was set in 1960, and the abstract of the social–ecological system of North Korean agriculture. The model comprises the agent, environment, and external factors.

Soil and water loss due to traditional intensive types of agricultural management is widespread and unsustainable in Croatian croplands. In order to mitigate the accelerated land degradation, we studied different cropland soil management strategies to obtain feasible and sustainable agro-technical practices. A rainfall simulation experiment was conducted at 58 mm h–1 over 30 min on 10 paired plots (0.785 m2), bare and straw covered (2 t ha−1). The experiment was carried out in maize cultivation (Blagorodovac, Croatia) established on Stagnosols on slopes.

Among the UNCCD SDGs 2030, there is the recognition that land consumption can strongly affect the provision of ecosystem services. From the perspective of land degradation neutrality, urban level is the right scale when planning actions against land consumption. The aims of this research are: (1) to assess land consumption at urban landscape scale and its effects on natural capital flow provision; and (2) to identify sustainable strategic planning choices for land consumption mitigation and natural capital enhancement.

Current research largely focuses on the role of allotment gardens, the challenges facing them, and the direction of their future development in urban environments. The main idea behind the introduction of allotment gardens was to improve the living conditions and food supply of workers and the underprivileged. The impact of allotment gardening does not only concern the allotment gardeners but also the general public and the environment.

Land consumption and climate change have intensified natural disasters in urban areas. In response to these emergencies under the European 2030 Agenda, Sustainable Development Goals have been established to improve ecosystem protection and increase resilience and adaptation to natural disasters globally (Goal 13 “Climate action” and Goal 15 “Life on land”).

This study’s objective is to assess the socioeconomic effects of good governance practices in urban land management in two particular Ethiopian towns. Both qualitative and quantitative research methods were employed to achieve this objective. Questionnaires, interviews, and focus group discussions were used to collect data, and the collected data were analyzed descriptively. According to the study’s findings, the poor were hit particularly hard by weak governance in urban land management, since they could not afford to bribe authorities to acquire services or legal protection.

Identification of spatiotemporal changes in ecosystem service value and their drivers is the basis for ecosystem services management and decision making. This research selects Fujiang River Basin (FJRB) as the area of study, using the equivalent factor method to estimate the ecosystem service value (ESV) variation and characteristics of its spatial distribution. The contributions of the drivers of ecosystem service value and their interactions were also explored using the optimal parameters-based geographical detectors (OPGD) model.

This study examines how political career incentives drive city leaders to strategically lease land to the service and industrial sectors within their terms of office and trigger political circles in land supply. Drawing on a comprehensive panel dataset covering 284 cities in China from 2006 to 2020, the results of panel regressions reveal a U-shaped correlation between mayors’ tenure in office and the quantity and proportion of land leased to the service sector for the 2006–2013 period, when economic growth was the overwhelming indicator of political performance.

Global environmental governance (GEG) is one of the world’s major attempts to address climate change issues through mitigation and adaptation strategies. Despite a significant improvement in GEG’s structural, human, and financial capital, the global commons are decaying at an unprecedented pace. Among the global commons, land has the largest share in GEG. Land use change, which is rooted in increasing populations and urbanization, has a significant role in greenhouse gas (GHG) emissions.

Is digitalization conducive to promoting carbon reduction in cultivated land use while empowering high-quality socio-economic development and intelligent territorial spatial planning? Derived from China’s provincial panel data from the period 2011 to 2019, in this paper, we employ a fixed-effect model to study the impact of the digital economy on carbon emissions from cultivated land use and apply an intermediary-effect model to estimate the impact that the structure of the digital economy has on carbon emissions from cultivated land use.

Many studies have investigated the effects of large-scale land acquisition (LSLA) on livelihood, while the effects of LSLA by different actors on investment decisions and levels of investment have largely gone without academic scrutiny. Consequently, information concerning the implications of LSLA by actors on investment is scarce in the literature pertaining to policy.

Land expropriation has always been a hot spot of social conflicts. The land expropriation policy of Merging Villages and Living Together (MVLT) in rural areas has intensified conflicts due to insufficient financial compensation and “demolishing old houses before building new ones”.